Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression.

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Bibliographic Details
Title: Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression.
Authors: Zhao C; Department of Pediatrics, University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA., Xu Z; Department of Pediatrics, University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA.; School of Medicine, Tsinghua University, Beijing, 100084, Beijing, China., Wang X; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, 10065, New York, USA., Tao S; Department of Pediatrics, University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA.; Department of Biostatistics, University of Pittsburgh, Pittsburgh, 15261, Pennsylvania, USA., MacDonald WA; Health Sciences Sequencing Core at UPMC Children's Hospital of Pittsburgh, Department of Pediatrics , University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA., He K; Division of Pediatric Rheumatology, Department of Pediatrics , University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA., Poholek AC; Division of Pediatric Rheumatology, Department of Pediatrics , University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA.; Department of Immunology , University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA.; Health Sciences Sequencing Core at UPMC Children's Hospital of Pittsburgh, Department of Pediatrics , University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA., Chen K; Department of Medicine, University of Pittsburgh, Pittsburgh, 15213, Pennsylvania, USA., Huang H; Department of Computer Science, University of Maryland, College Park, 20742, Maryland, USA., Chen W; Department of Pediatrics, University of Pittsburgh, Pittsburgh, 15224, Pennsylvania, USA.; Department of Biostatistics, University of Pittsburgh, Pittsburgh, 15261, Pennsylvania, USA.
Source: Briefings in bioinformatics [Brief Bioinform] 2024 Jan 22; Vol. 25 (2).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1477-4054
DOI:10.1093/bib/bbae052